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Perturbation Based Privacy in Crowdsensing

By Zhirun Zheng

Perturbation Based Privacy in Crowdsensing

By Zhirun Zheng

0 - Default Title
Description
This book investigates perturbation-based privacy in crowdsensing systems. The authors first present an explicit overview of crowdsensing systems and privacy challenges and briefly discuss how the noise added by perturbation-based privacy-preserving techniques could inevitably degrade data quality and facilitate the success of data poisoning attacks on crowdsensing. The authors then give a comprehensive review of classical privacy notions for perturbation-based privacy-preserving techniques and theoretically analyze the relations between these privacy notions. The next four chapters conduct a series of studies on privacy preservation in crowdsensing systems from three dimensions of data privacy, data utility and data poisoning. Finally, the book explores open issues and outlines future research directions for perturbation-based privacy preservation in crowdsensing systems. Advanced-level students majoring in the areas of network security, computer science and electrical engineering will find this book useful as a secondary text. Professionals seeking privacy-preserving solutions for crowdsensing systems will also find this book useful as a reference.
Product details
Number of Pages:
192
Release Date:
2025-07-22
Publication Date:
2025-07-22
Publisher:
Springer Nature Switzerland
Languages:
Original: English
ISBN10:
3031950518
ISBN13:
9783031950513
GPSR Manufacturer Reference:
[email protected]
Weight:
457 g
Height:
160 cm
Width:
241 cm
Thickness:
17 cm
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